Instructions to use Paladiso/55a420cf-1d6a-45a7-aec0-e2146ff1e80a with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Paladiso/55a420cf-1d6a-45a7-aec0-e2146ff1e80a with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("fxmarty/tiny-dummy-qwen2") model = PeftModel.from_pretrained(base_model, "Paladiso/55a420cf-1d6a-45a7-aec0-e2146ff1e80a") - Notebooks
- Google Colab
- Kaggle
Download last-checkpoint/adapter_model.safetensors from Paladiso/55a420cf-1d6a-45a7-aec0-e2146ff1e80a: direct link, hf CLI and curl.
- Browser
- Download file 14.7 kB
-
https://huggingface.co/Paladiso/55a420cf-1d6a-45a7-aec0-e2146ff1e80a/resolve/main/last-checkpoint/adapter_model.safetensors
- Command line
-
hf download hf://Paladiso/55a420cf-1d6a-45a7-aec0-e2146ff1e80a/last-checkpoint/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/Paladiso/55a420cf-1d6a-45a7-aec0-e2146ff1e80a/resolve/main/last-checkpoint/adapter_model.safetensors
14.7 kB
- Xet hash:
- b3cd777a2f71f5c2d28a375bb73f1bd8105f80921e51be8c05561001da908754
- Size of remote file:
- 14.7 kB
- SHA256:
- 274e0d034b74811be226b9691d69491d241af48305544800015f24adc66d00f1
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